07-07-2017 01:07 PM
07-07-2017 01:07 PM
Ok - let's see how we go @Former-Member
07-07-2017 01:10 PM
07-07-2017 01:10 PM
Not complex sampling but:
As power decreses - what happens to type II errors?
Systematic Sampling | ||
Simple Random Sampling | ||
Stratified Random Sampling | ||
Cluster sampling |
Complex sampling may increase logistic efficiency | ||
Complex sampling increases statistical efficiency | ||
Complex sampling decreases statistical efficiency | ||
To retain the same Confidence Interval Width as SRS you need to decrease the sample size |
07-07-2017 01:20 PM
07-07-2017 01:20 PM
Off the top of my head @Former-Member - no chance of answering either question accurately but give me a little time to try and find some of my old books.
07-07-2017 01:31 PM
07-07-2017 01:31 PM
07-07-2017 01:33 PM
07-07-2017 01:33 PM
Arts first then Social Research then Teaching @Former-Member
07-07-2017 01:42 PM
07-07-2017 01:42 PM
07-07-2017 01:43 PM
07-07-2017 01:43 PM
It's been a long time since I have done any statistical work to this extent @Former-Member - from memory (which isn't that great atm ) I am pretty sure that Question 1 is Systemic Sampling as you are choosing the same random number in each interval. All the others (simple, stratified, cluster) use any random numbers generated/chosen across the whole sample being used without dividing the samples into equal/like intervals.
07-07-2017 01:44 PM
07-07-2017 01:44 PM
Yep @Former-Member it is alot - 7 years all up.. but I did go back 'later in life' to do teaching after working in a couple of different fields first.
07-07-2017 02:00 PM
07-07-2017 02:00 PM
@Former-Member Question 2: complex sampling involving clustering may 1. increase logistic efficiency and 2. decrease statistical efficiency
I am not 100% sure these are correct as it has been a long time since I have done statistical analysis to this depth but by making the sample groups 'chosen' smaller (into clusters) it makes sense.
07-07-2017 02:20 PM
07-07-2017 02:20 PM
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